AutoML Leaderboard

Best model name model_type metric_type metric_value train_time
1_DecisionTree Decision Tree rmse 0.213154 0.91
2_DecisionTree Decision Tree rmse 0.206743 0.9
3_DecisionTree Decision Tree rmse 0.206902 0.88
4_Linear Linear rmse 0.194117 0.99
5_Default_LightGBM LightGBM rmse 0.199116 1.17
6_Default_Xgboost Xgboost rmse 0.201006 1.44
7_Default_CatBoost CatBoost rmse 0.200783 1.9
8_Default_NeuralNetwork Neural Network rmse 0.205753 1.15
9_Default_RandomForest Random Forest rmse 0.209363 2.28
19_LightGBM LightGBM rmse 0.355576 2.89
10_Xgboost Xgboost rmse 0.204284 1.32
28_CatBoost CatBoost rmse 0.200345 2.03
37_RandomForest Random Forest rmse 0.248499 2.27
46_ExtraTrees Extra Trees rmse 0.28408 2.64
55_NeuralNetwork Neural Network rmse 0.220389 1.23
64_NearestNeighbors Nearest Neighbors rmse 0.219168 1.17
20_LightGBM LightGBM rmse 0.207061 1.25
4_Linear_GoldenFeatures Linear rmse 0.199265 4.75
65_LightGBM LightGBM rmse 0.199116 1.28
66_LightGBM LightGBM rmse 0.199116 1.29
67_CatBoost CatBoost rmse 0.197219 1.85
68_CatBoost CatBoost rmse 0.205597 2.52
69_CatBoost CatBoost rmse 0.199126 2.42
70_CatBoost CatBoost rmse 0.201097 1.82
4_Linear_BoostOnErrors Linear rmse 0.194595 1.26
Ensemble Ensemble rmse 0.176571 1.03
67_CatBoost_Stacked CatBoost rmse 0.179577 3.47
5_Default_LightGBM_Stacked LightGBM rmse 0.194733 1.48
the best Ensemble_Stacked Ensemble rmse 0.172089 1.23

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Spearman Correlation of Models

models spearman correlation